WHO ARE WE?

Equinix is the world’s digital infrastructure company®, operating over 260 data centers across the globe. Digital leaders harness Equinix’s trusted platform to bring together and interconnect foundational infrastructure at software speed. Equinix enables organizations to access all the right places, partners and possibilities to scale with agility, speed the launch of digital services, deliver world-class experiences and multiply their value, while supporting their sustainability goals.
A career at Equinix means you will collaborate on work that impacts the world and be surrounded by endless opportunities to learn new skills and grow in varied directions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment that is foundational to our core values as a company and is vital to our success.

JOB SUMMARY

Drive the optimization of our global supply chain by transforming complex data into actionable insights. You’ll lead efforts in centralizing data, building advanced analytics, and automating manual processes. We’re especially interested in candidates who can think long-term, exploring and implementing Machine Learning and Artificial Intelligence solutions to enhance our supply chain. Required experience with Power BI / Tableau. Data centers or large scale infrastructure experience is a big plus!

QUALIFICATIONS

• +8 years of Data Science or similar experience required, preferably in a procurement or supply chain function
• Preferrable experience in data center, mission critical, industrial, and/or high-tech industries
• Experience with enterprise data tools such as Anaplan, Helix, Power BI, Tableau, SQL, API Integrations
• Bachelor’s degree in Data Analytics, Computer Science or equivalent experience required.
  Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
  Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

• Data Strategy & Management: Develop, implement, and maintain robust data strategies for centralizing disparate supply chain data sources (e.g., procurement, logistics, inventory, demand forecasting). Ensure data integrity, accuracy, and accessibility for various stakeholders
• Advanced Analytics & Reporting: Design, build, and maintain sophisticated analytical models, dashboards, and reports to monitor key supply chain performance indicators (KPIs). Identify trends, anomalies, and opportunities for improvement across the entire supply chain lifecycle
• Automation & Process Optimization: Proactively identify manual, repetitive tasks within the supply chain and develop automated solutions (e.g., scripts, macros, workflow automation tools) to improve efficiency, reduce errors, and free up resources for more strategic work.
• Planning & Forecasting: Collaborate with cross-functional teams (e.g., Capacity and Inventory Planning, Procurement Managers, Engineering, Finance, Operations) to support demand forecasting, inventory optimization, and capacity planning initiatives
• Problem Solving & Continuous Improvement: Lead root cause analysis for supply chain issues, propose data-backed solutions, and drive continuous improvement initiatives to enhance efficiency, reduce costs, and improve service levels
• Long-Term Vision (ML/AI): Explore and champion the adoption of machine learning (ML) and artificial intelligence (AI) techniques to further optimize supply chain processes, including predictive analytics for demand, risk assessment, and autonomous decision-making. Stay abreast of industry best practices and emerging technologies
• Stakeholder Communication: Present complex analytical findings clearly and concisely to both technical and non-technical audiences, influencing decision-making at various levels